Travelled to:1 × Canada
2 × United Kingdom
3 × USA
Collaborated with:P.M.Long ∅ A.Srinivasan R.C.Holte W.Maass S.Kalyanakrishnan A.Tewari P.Stone M.Fussenegger A.Opelt A.Pinz
Talks about:learn (4) multi (2) pac (2) stochast (1) rectangl (1) recognit (1) approxim (1) approach (1) theoret (1) segment (1)
Person: Peter Auer
DBLP: Auer:Peter
Contributed to:
2012
20041997
199719951994Wrote 6 papers:
- ICML-2012-KalyanakrishnanTAS #multi #probability #set
- PAC Subset Selection in Stochastic Multi-armed Bandits (SK, AT, PA, PS), p. 34.
- ICPR-v3-2004-FusseneggerOPA #detection #recognition #segmentation #using
- Object Recognition Using Segmentation for Feature Detection (MF, AO, AP, PA), pp. 41–44.
- ICML-1997-Auer #approach #empirical #evaluation #learning #multi #on the
- On Learning From Multi-Instance Examples: Empirical Evaluation of a Theoretical Approach (PA), pp. 21–29.
- STOC-1997-AuerLS #approximate #learning #pseudo #set
- Approximating Hyper-Rectangles: Learning and Pseudo-Random Sets (PA, PML, AS), pp. 314–323.
- ICML-1995-AuerHM #theory and practice
- Theory and Applications of Agnostic PAC-Learning with Small Decision Trees (PA, RCH, WM), pp. 21–29.
- STOC-1994-AuerL #learning #simulation
- Simulating access to hidden information while learning (PA, PML), pp. 263–272.